Getty Realty (GTY) Property Operating Expenses (2010 - 2026)
Getty Realty's Property Operating Expenses was $2.22 million in Q3 2026, down 7.6% from $2.41 million a year earlier but up 10.1% from the prior quarter.
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Analysis
Getty Realty (GTY) Property Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's Property Operating Expenses was $8.17 million through Sep 30, 2026, down 18.9% year-over-year; for FY2025, it came in at $8.75 million, down 41.1% from FY2024.
- Property Operating Expenses shows a five-year compound annual growth rate of -18.0% (FY2020 to FY2025).
- In earlier years, Property Operating Expenses was $14.86 million in FY2024 (-37.5%), $23.79 million in FY2023 (+10.4%), $21.55 million in FY2022 (-2.2%) and $22.05 million in FY2021 (-6.3%).
- Quarterly Property Operating Expenses has moved between $1.91 million (Q4 2025) and $8.71 million (Q3 2023) over five years.
- Compared with a year earlier, Property Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 28.8%.
- The best year-over-year quarter for Property Operating Expenses over five years was Q3 2023 (growth of 52.3%); the worst was Q3 2024 (a decline of 54.9%).
- Per Business Quant data, GTY's Property Operating Expenses in the three quarters before Q3 2026 was $2.02 million (Q2 2026), $2.01 million (Q1 2026) and $1.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 2.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.22 Mn |
| Jun 30, 2026 | 2.02 Mn |
| Mar 31, 2026 | 2.01 Mn |
| Dec 31, 2025 | 1.91 Mn |
| Sep 30, 2025 | 2.41 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 3.25 Mn |
| Sep 30, 2024 | 3.93 Mn |
| Jun 30, 2024 | 3.98 Mn |
| Mar 31, 2024 | 3.70 Mn |
| Dec 31, 2023 | 5.57 Mn |
| Sep 30, 2023 | 8.71 Mn |
| Jun 30, 2023 | 4.81 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 5.88 Mn |
| Sep 30, 2022 | 5.72 Mn |
| Jun 30, 2022 | 5.32 Mn |
| Mar 31, 2022 | 4.63 Mn |
| Dec 31, 2021 | 4.67 Mn |
API Access
Getty Realty Property Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();